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This project proposes a model predictive current control (MPCC) strategy for a reduced switch multilevel inverter (RSMI) topology. The RSMI offers advantages such as reduced component count and improved efficiency compared to traditional multilevel inverters. The Model Predictive Current Control (MPCC) algorithm utilizes a finite control set approach to predict future current errors and selects the optimal switching states to minimize these errors while considering constraints such as voltage limits and switching frequency. Simulation results demonstrate the effectiveness of the proposed MPCC strategy in achieving accurate current tracking and maintaining voltage balance across the inverter's output phases by using MATLAB simulink software and Hardware.
Keywords:
Mpcc, Multilevel Inverter, Current Control, 15-level Inverter
Cite Article:
"Design of Model Predictive Current Control Based Reduced Switch Multilevel Inverter ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b523-b530, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504163.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator